Toggle navigation
MeasureThat.net
Create a benchmark
Tools
Feedback
FAQ
Register
Log In
lodash uniq vs array.from(set())
(version: 0)
Comparing performance of:
Set vs Array
Created:
2 years ago
by:
Guest
Jump to the latest result
HTML Preparation code:
<script src='https://cdn.jsdelivr.net/npm/lodash@4.17.10/lodash.min.js'></script>
Tests:
Set
var l = new Set([1, 2, 3, 4, 5, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7]); return Array.from(l.values());
Array
var l = [1, 2, 3, 4, 5, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7]; return _.uniq(l);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
Fork
Test case name
Result
Set
Array
Fastest:
N/A
Slowest:
N/A
Latest run results:
No previous run results
This benchmark does not have any results yet. Be the first one
to run it!
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the benchmark and its components. **Benchmark Purpose** The benchmark compares two approaches to remove duplicates from an array: using `Array.from(set())` and using Lodash's `uniq()` function. **Options Compared** Two options are compared: 1. **Using a Set**: Creates a new Set object, which automatically removes duplicates, and then uses `Array.from()` to convert the Set back into an Array. 2. **Using Lodash's uniq() function**: Uses the Lodash library to remove duplicates from the array. **Pros and Cons of Each Approach** 1. Using a Set: * Pros: + Efficient, as Sets have an average time complexity of O(1) for insertion and lookup operations. + Automatic removal of duplicates, reducing code duplication. * Cons: + Requires conversion to an Array using `Array.from()`, which can be slower than the Set-based approach. 2. Using Lodash's uniq() function: * Pros: + Easy to use, as it's a simple function call with minimal code changes. + Often included in larger JavaScript projects, making it easy to integrate without additional dependencies. * Cons: + Requires including an external library (Lodash), which can add bloat and increase bundle size. + May be slower than the Set-based approach due to the overhead of function calls. **Library: Lodash** Lodash is a popular JavaScript utility library that provides a wide range of functions for tasks like array manipulation, object manipulation, and more. In this benchmark, `uniq()` is used to remove duplicates from an array. **Special JS Feature or Syntax** There are no special features or syntaxes being tested in this benchmark. The code uses standard JavaScript constructs and does not exploit any esoteric features. **Benchmark Preparation Code and JSON** The benchmark preparation code includes a script tag that loads the Lodash library, which is then used in the individual test cases to define the `uniq()` function. **Alternative Approaches** Other approaches to remove duplicates from an array include: 1. Using `filter()`: Removes elements from the array using `filter()` with a callback function that checks for duplicate values. 2. Using `reduce()`: Uses `reduce()` to iterate over the array and accumulate unique elements into a new array. 3. Manual iteration: Iterates over the array using a traditional loop, keeping track of unique elements in an external data structure (e.g., an object or Set). Each approach has its own pros and cons, which can be explored further by considering factors like performance, code complexity, and maintainability. **Other Considerations** * The benchmark uses Chrome 114 as the test browser, which may not represent all users' browsers. * The benchmark is run on a desktop platform, which may not accurately reflect mobile or other environments where duplicates are less common. * The benchmark does not consider edge cases like null or undefined values in the input array. By understanding these factors and options, software engineers can develop more effective JavaScript solutions for removing duplicates from arrays.
Related benchmarks:
lodash uniq vs native uniq
Lodash uniq vs Set to unique array
lodash uniq vs set - 3
Lodash - uniq
lodash uniq vs spread new Set() medium size
Comments
Confirm delete:
Do you really want to delete benchmark?